Advances in Machine Learning I 2010
Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk (Eds.): Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Springer 2010 Studies in Computational Intelligence ISBN 978-3-642-05176-0
Introductory Chapters
- Janusz Wojtusiak, Kenneth A. Kaufman: Ryszard S. Michalski: The Vision and Evolution of Machine Learning. 3-22
- Marcus A. Maloof: The AQ Methods for Concept Drift. 23-47
- Krzysztof J. Cios, Lukasz A. Kurgan: Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. 49-74
General Issues
- Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger: Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. 121-146
- Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin: Transfer Learning via Advice Taking. 147-170
Classification and Beyond
- Pavel Brazdil, Rui Leite: Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. 173-188
- Michelangelo Ceci, Annalisa Appice, Donato Malerba: Transductive Learning for Spatial Data Classification. 189-207
- Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski: Beyond Sequential Covering - Boosted Decision Rules. 209-225
- Matti Saarela, Tapio Elomaa, Keijo Ruohonen: An Analysis of Relevance Vector Machine Regression. 227-246
- Zbigniew W. Ras, Agnieszka Dardzinska, Wenxin Jiang: Cascade Classifiers for Hierarchical Decision Systems. 247-256
- Gisele L. Pappa, Alex Alves Freitas: Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. 257-273
- Ugo Galassi, Marco Botta, Lorenza Saitta: Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. 275-295
Soft Computing
- Ronald R. Yager: Partition Measures for Data Mining. 299-319
- Jens Christian Hühn, Eyke Hüllermeier: An Analysis of the FURIA Algorithm for Fuzzy Rule Induction. 321-344
- Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse: Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets. 345-365
- Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol: Knowledge Discovery Using Rough Set Theory. 367-383
- Aboul Ella Hassanien, Hameed Al-Qaheri, Václav Snásel, James F. Peters: Machine Learning Techniques for Prostate Ultrasound Image Diagnosis. 385-403
- Marek Kowal, Józef Korbicz: Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering. 405-417
Machine Learning for Robotics
- Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon López de Mántaras: Automatic Selection of Object Recognition Methods Using Reinforcement Learning. 421-439
- Ivan Bratko: Comparison of Machine Learning for Autonomous Robot Discovery. 441-456
Neural Networks and Other Nature Inspired Approaches
- Joachim Diederich, Alan B. Tickle, Shlomo Geva: Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks. 479-490
- Vladimir G. Red'ko, Danil V. Prokhorov: Learning and Evolution of Autonomous Adaptive Agents. 491-500
- Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov: Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. 501-518
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last updated on 2013-06-18T211851 by the dblp team